Keyframe-Based Video Summary Using Visual Attention Clues

Authors:
jiang peng;qin xiaolin
Affiliations:
Nanjing University of Aeronautics and Astronautics;Nanjing University of Aeronautics and Astronautics
Venue:
IEEE MultiMedia
Year:
2010

Citing 0
Cited 5

Hierarchical keyframe-based video summarization using QR-decomposition and modified k-means clustering

EURASIP Journal on Advances in Signal Processing
Key frame extraction based on visual attention model

Journal of Visual Communication and Image Representation
Movie keyframe retrieval based on cross-media correlation detection and context model

IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Efficient visual attention based framework for extracting key frames from videos

Image Communication
Caption text and keyframe based video retrieval system

ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

A visual attention index descriptor based on a visual attention model bridges the semantic gap between low-level descriptors used by computers and high-level concepts perceived by humans.